10 Machine Learning Algorithms to Know in 2025
January 28, 2025
Article · 10 min read
This course is part of Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization
Instructor: Whizlabs Instructor
Included with
Recommended experience
Beginner level
Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Recommended experience
Beginner level
Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
Determine algorithm concepts in ML
Design Regression algorithms and Classification based algorithms
Examine Reinforcement learning algorithms and Forecasting algorithms
Add to your LinkedIn profile
5 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
ML Algorithms is the fourth Course in the AWS Certified Machine Learning Specialty specialization. This Course enables learners to deep dive Machine Learning Algorithms. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Module 1: ML Algorithms- Part 1 Module 2: ML Algorithms- Part 2 Minimum two year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud. By the end of this course, learners will be able to : - Determine algorithm concepts in ML - Design Regression algorithms and Classification based algorithms - Examine Reinforcement learning algorithms and Forecasting algorithms
Welcome to week 1 ofML Algorithms Course. This week, we'll describe algorithm concepts in Machine Learning. We'll demonstrate working of Regression algorithms ad Clustering algorithms. Additonally, we'll also demonstrate working of Classification based algorithms
12 videos3 readings2 assignments1 discussion prompt
Welcome to Week 2 of ML Algorithm course. This week, we'll describe Image analysis algirithms with demonstration on Text analysis algorithms. By the end of this week, we'll be able to describe Reinforcement learning algorithms and Forecasting algorithms.
7 videos3 readings3 assignments
Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry. We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
University of Glasgow
Course
LearnKartS
Course
LearnQuest
Course
Duke University
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.